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145
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CVPR
2008
IEEE
15 years 5 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
156
Voted
NIPS
2004
15 years 5 months ago
Co-Training and Expansion: Towards Bridging Theory and Practice
Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical succ...
Maria-Florina Balcan, Avrim Blum, Ke Yang
145
Voted
ISCAPDCS
2003
15 years 5 months ago
Optimal Graph Transformation Assuming Alternate Scheduling Models
Many computation-intensive iterative or recursive applications commonly found in digital signal processing and image processing applications can be represented by data-flow graph...
Timothy W. O'Neil
114
Voted
WSCG
2004
165views more  WSCG 2004»
15 years 5 months ago
A Client-Server-Scenegraph for the Visualization of Large and Dynamic 3D Scenes
With the increasing capabilities of hardware for 3D graphics and network, 3D multi-user environments get more and more interesting for e-business, entertainment and cooperative wo...
Jörg Sahm, Ingo Soetebier
137
Voted
SPIESR
1997
97views Database» more  SPIESR 1997»
15 years 5 months ago
Multiscale Branch-and-Bound Image Database Search
This paper presents a formal framework for designing search algorithms which can identify target images by the spatial distribution of color, edge and texture attributes. The fram...
Jau-Yuen Chen, Charles A. Bouman, Jan P. Allebach